Geomatica OrthoEngine Orthorectifying SPOT6 data

Similar documents
Geomatica OrthoEngine V10.3 Tutorial. Orthorectifying AVNIR-2 Data Rigorous and RPC Modeling

Geomatica OrthoEngine v10.2 Tutorial DEM Extraction of GeoEye-1 Data

Landsat 8 Pansharpen and Mosaic Geomatica 2015 Tutorial

Geomatica OrthoEngine v10.2 Tutorial Orthorectifying ALOS PRISM Data Rigorous and RPC Modeling

Planet Labs Inc 2017 Page 2

Using the Chip Database

Geomatica OrthoEngine v10.2 Tutorial DEM Extraction of WorldView-1 Data

The Airphoto Ortho Suite is an add-on to Geomatica. It requires Geomatica Core or Geomatica Prime as a pre-requisite.

The Radar Ortho Suite is an add-on to Geomatica. It requires Geomatica Core or Geomatica Prime as a pre-requisite.

Satellite Ortho Suite

Summary of the VHR image acquisition Campaign 2014 and new sensors for 2015

PLANET IMAGERY PRODUCT SPECIFICATIONS PLANET.COM

News on Image Acquisition for the CwRS Campaign new sensors and changes

ENVI Tutorial: Orthorectifying Aerial Photographs

Image Fusion. Pan Sharpening. Pan Sharpening. Pan Sharpening: ENVI. Multi-spectral and PAN. Magsud Mehdiyev Geoinfomatics Center, AIT

FEDERAL SPACE AGENCY SOVZOND JSC компания «Совзонд»

TEMPORAL ANALYSIS OF MULTI EPOCH LANDSAT GEOCOVER IMAGES IN ZONGULDAK TESTFIELD

Processing Aster Data for Atmospheric Correction Geomatica 2014 Tutorial

Accurate, Detailed Elevation

KOMPSAT-2 DIRECT SENSOR MODELING AND GEOMETRIC CALIBRATION/VALIDATION

PLANET IMAGERY PRODUCT SPECIFICATION: PLANETSCOPE & RAPIDEYE

SAR Othorectification and Mosaicking

DIFFERENTIAL APPROACH FOR MAP REVISION FROM NEW MULTI-RESOLUTION SATELLITE IMAGERY AND EXISTING TOPOGRAPHIC DATA

ENVI Orthorectification Module

Geometric Quality Testing of the WorldView-2 Image Data Acquired over the JRC Maussane Test Site using ERDAS LPS, PCI Geomatics and

News on Image Acquisition for Campaign 2008

Topographic mapping from space K. Jacobsen*, G. Büyüksalih**

ENVI Orthorectification Module

GXL 2015 Technical Description

Satellite Imagery Characteristics, Uses and Delivery to GIS Systems. Wayne Middleton April 2014

GMES DA COPERNICUS

Comparing geometric and radiometric information from GeoEye-1 and WorldView-2 multispectral imagery

TUTORIAL Extraction of Geospatial Information from High Spatial Resolution Optical Satellite Sensors

Airbus Airbus Defence and Space - Intelligence. Price List North America

Fusion of Heterogeneous Multisensor Data

PLANET IMAGERY PRODUCT SPECIFICATION: PLANETSCOPE & RAPIDEYE

Appendix 2: Worked example using GPS

What s New in Geomatica 10.1

Using Imagery for Intelligence Analysis. Jim Michel Renee Bernstein

CHARACTERISTICS OF VERY HIGH RESOLUTION OPTICAL SATELLITES FOR TOPOGRAPHIC MAPPING

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 2, No 3, 2012

New sensors benchmark report on KOMPSAT-3A

Title of presentation runs here on two lines / Arial Regular 30 pt

ANNEX IV ERDAS IMAGINE OPERATION MANUAL

Geomatica I Course Guide Version 10.1

Files Used in This Tutorial. Background. Calibrating Images Tutorial

DESIS Applications & Processing Extracted from Teledyne & DLR Presentations to JACIE April 14, Ray Perkins, Teledyne Brown Engineering

Increasing the potential of Razaksat images for map-updating in the Tropics

Image Acquisition Campaign 2008

Automatic geo-registration of satellite imagery

GEOMETRIC RECTIFICATION OF EUROPEAN HISTORICAL ARCHIVES OF LANDSAT 1-3 MSS IMAGERY

CALIBRATION OF OPTICAL SATELLITE SENSORS

The Most Suitable Sizes Of Ground Control Points (Gcps) For World View2

Geopositioning Accuracy Assessment of GeoEye-1 Panchromatic and Multispectral Imagery

Hydraulics and Floodplain Modeling Managing HEC-RAS Cross Sections

INFORMATION CONTENT ANALYSIS FROM VERY HIGH RESOLUTION OPTICAL SPACE IMAGERY FOR UPDATING SPATIAL DATABASE

DEM GENERATION WITH WORLDVIEW-2 IMAGES

Pléiades. Access to data. Charlotte Gabriel-Robez. January Pléiades product manager

Abstract Quickbird Vs Aerial photos in identifying man-made objects

PRODUCT LEVELS 2 Georectified Products... 3 Orthorectified Products... 4 Stereo Products... 5 Off-the-Shelf Products... 6

processing VHR satellite imagery in Tsunami affected areas of Indonesia and Sri Lanka

ROLE OF SATELLITE DATA APPLICATION IN CADASTRAL MAP AND DIGITIZATION OF LAND RECORDS DR.T. RAVISANKAR GROUP HEAD (LRUMG) RSAA/NRSC/ISRO /DOS HYDERABAD

Remote sensing image correction

GEO/EVS 425/525 Unit 9 Aerial Photograph and Satellite Image Rectification

GIS and Remote Sensing

Aral Sea profile Selection of area 24 February April May 1998

REGISTRATION OF OPTICAL AND SAR SATELLITE IMAGES BASED ON GEOMETRIC FEATURE TEMPLATES

ADVANCED LAND OBSERVATION SATELLITE - ALOS

EVALUATION OF PLEIADES-1A TRIPLET ON TRENTO TESTFIELD

Introduction to KOMPSAT

Data Sharing Issues in SE Asia

Potential of ASTER and LANDSAT Images for Mapping Features in Western Desert

KOMPSAT Constellation. November 2012 Satrec Initiative

School of Rural and Surveying Engineering National Technical University of Athens

The DigitalGlobe Constellation. World s Largest Sub-Meter High Resolution Satellite Constellation

RapidEye Initial findings of Geometric Image Quality Analysis. Joanna Krystyna Nowak Da Costa

An Alternative Source of Very High-resolution Imagery The Resurs-DK1 Satellite

Our Quality Promise WHITE PAPER

INNOVATIVE APPLICATION OF GIS METHODS AND SATELLITE PHOTOS FOR GENERAL INVENTORY AND PROTECTION OF CARPATHIAN FORESTS

Importing and processing gel images

COMPARISON OF INFORMATION CONTENTS OF HIGH RESOLUTION SPACE IMAGES

ROSCOSMOS Agency Report. 36 th CEOS WGCV Plenary May 2013, Shanghai, China

White paper brief IdahoView Imagery Services: LISA 1 Technical Report no. 2 Setup and Use Tutorial

Application of GIS for earthquake hazard and risk assessment: Kathmandu, Nepal. Part 2: Data preparation GIS CASE STUDY

Radiometric and Geometric Correction Methods for Active Radar and SAR Imageries

Ten years of remote sensing advancement & the research outcome of the CRC-AGIP Lab

What is Photogrammetry

THE EFFECT OF PANSHARPENING ALGORITHMS ON THE RESULTING ORTHOIMAGERY

Lab 3: Image Acquisition and Geometric Correction

US Commercial Imaging Satellites

Lab #10 Digital Orthophoto Creation (Using Leica Photogrammetry Suite)

Grant Boxer Consultant Geologist March 10th 2014 (Updated Nov 2014)

Monitoring Natural Disasters with Small Satellites Smart Satellite Based Geospatial System for Environmental Protection

Destriping and Geometric Correction of an ASTER Level 1A Image

TerraSAR-X Applications Guide

GEO 428: DEMs from GPS, Imagery, & Lidar Tuesday, September 11

SPOT 5 / HRS: a key source for navigation database

SPOT6. Impact of Spot 6 and 7 in the Constitution and Update of Spatial Data Infrastructures over Africa

SUGARCANE CROP EXTRACTION USING OBJECT-ORIENTED METHOD FROM ZY- 3 HIGH RESOLUTION SATELLITE TLC IMAGE

OVERVIEW OF KOMPSAT-3A CALIBRATION AND VALIDATION

Transcription:

Geomatica OrthoEngine Orthorectifying SPOT6 data On September 9, 2012, SPOT 6 was launched adding to the constellation of Earthimaging satellites designed to provide 1.5m high-resolution data. The architecture of SPOT 6 is similar to that of the Pleiades satellites, both orbiting at an altitude of 694km. SPOT 6 has an imaging swath of 60kms and is suited for mapping, surveillance and monitoring. The following is a brief tutorial showing a step by step procedure for pansharpening and orthorectifying SPOT 6 imagery using Geomatica OrthoEngine 2013. Initial Project Setup 1. Open the Geomatica 2013 OrthoEngine application 2. In OrthoEngine a. Click File > New 3. Give your project a Filename, Name and Description a. Select Optical Satellite Modeling as the Math Modeling Method Select Rational Function (Extract from image) under Options. The Rational Function Method (RFM) has been the most popular geometric correction method in orthorectifying high resolution images. This method uses the RPCs provided with the satellite data to perform orthorectification. At this point Toutin s Model can also be Page 1

selected. If you are manually collecting GCP s using Toutin s Model, a minimum of 6 GCP s are required. b. Click OK 4. Input the appropriate Output projection and GCP projection information for your project Page 2

Pan Sharpening It is always preferable to perform the pan-sharpening process before geometric correction if a pan-sharpened orthorectified image is desired. This method works for most areas with gentle terrain. Performing pan-sharpening after geometric correction often results in small misalignments between the ortho data due to the accuracy of GCPs and DEMs used in the orthorectification process. 5. Click on Utilities > Merge/Pansharp Multispectral Image 6. Select the Multispectral image in the dataset. Select the DIM_SPOT6_.xml file a. Select the Panchromatic image. Select the DIM_SPOT6_.xml file b. Select the output filename and location for the output PIX file c. Click Pansharp d. When the pansharp process is complete click Yes when asked to add the scene into the project Page 3

Figure 1a: SPOT6 MS image Figure1b: SPOT6 PAN image About the output PCI s Geomatica award winning pansharpening algorithm (Co-developed with UNB) is capable of taking a multispectral image and its coincident/co-registered panchromatic pair and produce outstanding pansharpened results. The output is a beautifully sharp high resolution multispectral image with the resolution of the panchromatic image. The pansharpened process takes a high resolution panchromatic image and a lower resolution multispectral image and produces a high resolution multispectral image (same resolution of panchromatic image) with very sharp edges. Page 4

Figure 1c: SPOT6 PCI pan-sharpened image Geometric Correction In order to leverage the SPOT 6 images for applications such as GIS, it is necessary to orthorectify the images. A geometric model, ground control points (GCPs) and a digital elevation model (DEM) is required. 7. Select Data Input as the Processing step a. Click Open a new or existing image Page 5

b. Click New Image c. Navigate to the location of the data. Select the DIM_SPOT6_.xml file if you wish to use the raw imagery. If you pansharpend the imagery as shown in the steps above, the pansharpened PIX file will already be added to the project. Skip to step 8. d. Select Yes when asked if you want to import the data file to a PIX file for optimized processing e. Select a file name and location for your output PIX file f. Select Yes when asked if you want to create overviews now 8. In the OrthoEngine toolbar select GCP/TP Collection as the Processing step a. Select Collect GCP s Manually Note: GCP s can be collected automatically using collect GCP s automatically from the GCP/TP Collection Processing step. Automatic tie point collection can also be used without collecting any GCPs. Page 6

b. Collect GCP s for the project using manual entry, from geocoded images, vectors, chip databases, digitizing tablet or a text file. 9. In the OrthoEngine toolbar select Ortho Generation as the Processing step a. Click Schedule ortho generation b. Move the Available images to the Images to process window c. Select an output file name and location for the ortho image d. Select a DEM file e. Select a Sampling interval f. Change the Resampling method to Cubic g. Click Generate Orthos Page 7

10. To view the completed ortho select File > Image View on the OrthoEngine Toolbar Page 8

Page 9